Automated News Screening for Emerging Infectious Disease Risk Identification in the Lake Victoria Basin
Absztrakt
Recent years have shown the importance of being able to predict and track outbreaks of
infectious diseases with the aim of preventing major incidents that can cause vast disruptions
to society. Predicting disease emergence can be aided by the study of the drivers and trends
of infectious disease emergence. This thesis describes a proof of concept for the use of
automated news screening as a tool to use in as part of an early warning system to identify
the emergence of infectious disease, using the Lake Victoria Basin as the subject for this
exploration.